from datetime import timedelta
from utils.operators.cluster_for_spark_sql_operator import SparkSqlOperator
from jms.time_sensor.time_after_09_00 import time_after_09_00

jms_dwd__dwd_dwm_network_target_detail_dt_monitor = SparkSqlOperator(
    task_id='jms_dwd__dwd_dwm_network_target_detail_dt_monitor',
    email=['payne.jiang@jtexpress.com', 'yl_bigdata@yl-scm.com'],
    name='jms_dwd__dwd_dwm_network_target_detail_dt_monitor_{{ execution_date | date_add(1) | cst_ds }}',
    sql='jms/dwd/dwd_dwm_network_target_detail_dt_monitor/execute.sql',
    pool_slots=6,
    executor_cores=2,
    executor_memory='8G',
    driver_memory='4G',
    num_executors=12,  # spark.dynamicAllocation.enabled 为 True 时，num_executors 表示最少 Executor 数
    conf={'spark.dynamicAllocation.maxExecutors': 32,
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',
          'spark.dynamicallocation.enabled': 'true',
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 120,
          'spark.shuffle.service.enabled': 'true',
          'spark.sql.shuffle.partitions': 600
          },
     hiveconf={'hive.exec.dynamic.partition': 'true',
               'hive.exec.dynamic.partition.mode': 'nonstrict',
               'hive.exec.max.dynamic.partitions.pernode': 20,
               'hive.exec.max.dynamic.partitions': 20
               },
    yarn_queue='pro',
    execution_timeout=timedelta(minutes=60),
)

jms_dwd__dwd_dwm_network_target_detail_dt_monitor  << [
    time_after_09_00
]


